Research Article

Identifying Political Risk Management Strategies in International Construction Projects

Table 4

Results of the exploratory factor analysis.

StrategyCommunalityItem-to-total correlationComponent
123456

S230.6400.5900.676
S050.5300.4900.653
S170.5750.5720.617
S220.6320.5850.598
S180.5650.4820.541
S020.6520.5110.509
S060.7300.5790.683
S070.6480.4970.667
S240.6670.6120.617
S080.5430.5150.595
S090.6210.6110.509
S150.7420.5920.739
S260.6790.5160.670
S030.5120.5270.525
S100.4790.5420.507
S270.5320.6210.682
S250.6970.6290.672
S200.6320.6370.586
S190.5810.5890.547
S040.5610.4780.663
S010.5480.5510.567
S110.6290.5570.550
S160.6110.5380.631
S120.7100.5390.618
S210.5790.5710.522
S140.5760.6530. 502
Cronbach’s alpha0.8570.8320.8110.7670.7430.758
Eigenvalues6.4832.8672.3101.4511.1621.100
Variance (%)15.23313.58711.15510.8179.2658.150
Cumulative variance (%)15.23328.82039.97550.79360.05868.208

Note. Only loadings of 0.500 or above are shown. Extraction method: principal component analysis. Rotation method: varimax with Kaiser normalization. Rotation converged in 10 iterations.